Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11B0222E0C454ED37431385D5E7B16B5F7792C349DF020984A3F893AB9BCACA0C916A99 |
|
CONTENT
ssdeep
|
192:QP479oh4lzH0Xsn6BQVWyyRIAbLm2Z5zZsWQR:QPYL6BQVWvRIAfm25sJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9a1ae56586e5659a |
|
VISUAL
aHash
|
ff1c1c1c1c00ffff |
|
VISUAL
dHash
|
3131313139300420 |
|
VISUAL
wHash
|
3c1c1c1c1c00ffff |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0000000000000000,a28a9ab2aa928c8e,0000000000000000,313139313939310e |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 63 techniques to evade detection by security scanners and make reverse engineering more difficult.